Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add znlgis/opengis-skills --skill gdal-apigit clone --depth 1 https://github.com/znlgis/opengis-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/znlgis/opengis-skills/gdal-api)<a href="https://agentmods.dev/skills/znlgis/opengis-skills/gdal-api"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/gdal-api/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/znlgis/opengis-skills/gdal-api"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/gdal-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.04438 |
| Opus 5 | $0.00028 | $0.02219 |
| Sonnet 5 | $0.00011 | $0.00888 |
| Haiku 4.5 | $0.00006 | $0.00444 |
Grade A, and why
gdal-api scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
项目地址： https://github.com/OSGeo/gdal
API 总览文档： https://gdal.org/en/stable/api/index.html
C/C++ API 参考： https://gdal.org/en/stable/api/index.html#c-api
Python API 参考： https://gdal.org/en/stable/api/python/index.html
Java API 参考： https://gdal.org/en/stable/api/java/index.html
C# API 参考： https://gdal.org/en/stable/api/csharp/index.html
许可证： MIT
概述
GDAL 是地理空间数据处理的事实标准库，由 OSGeo 基金会维护。它提供：
- 200+ 栅格驱动：GeoTIFF、NetCDF、HDF5、COG、JPEG2000 等
- 100+ 矢量驱动：Shapefile、GeoJSON、GeoPackage、PostGIS、FlatGeobuf 等
- 坐标参考系统：基于 PROJ 的坐标变换与投影转换
- 栅格分析：重采样、镶嵌、裁剪、波段运算、DEM 分析等
- 矢量操作：空间过滤、属性查询、要素创建与编辑等
GDAL 核心以 C++ 实现，同时通过 SWIG 提供 Python、Java、C# 三种语言绑定，各语言 API 与 C++ 保持一致的类与方法命名。
环境准备
C++ 环境
# Linux (Debian/Ubuntu)
apt-get install libgdal-dev
# macOS (Homebrew)
brew install gdal
# CMake 项目中链接 GDAL
# CMakeLists.txt
find_package(GDAL REQUIRED)
target_link_libraries(myapp PRIVATE GDAL::GDAL)
Python 环境
# pip 安装（需系统已安装 GDAL 库）
pip install GDAL
# Conda 安装（推荐，自动处理 C 库依赖）
conda install -c conda-forge gdal
# 验证
python -c "from osgeo import gdal; print(gdal.VersionInfo())"
Java 环境
<!-- Maven 依赖 -->
<dependency>
<groupId>org.gdal</groupId>
<artifactId>gdal</artifactId>
<version><!-- 请查看 Maven Central 获取最新版：https://central.sonatype.com/artifact/org.gdal/gdal --></version>
</dependency>
// Gradle
implementation 'org.gdal:gdal:3.13.1'
注意： Java 绑定需要在系统 PATH（Windows）或 LD_LIBRARY_PATH（Linux）中找到 gdalalljni 本地库。
C# 环境
# .NET Core / .NET 5+ 项目
dotnet add package MaxRev.Gdal.Core
dotnet add package MaxRev.Gdal.LinuxRuntime.Minimal # Linux
dotnet add package MaxRev.Gdal.WindowsRuntime.Minimal # Windows
注意： 官方 SWIG 绑定命名空间为 OSGeo.GDAL、OSGeo.OGR、OSGeo.OSR。NuGet 包 MaxRev.Gdal.Core 是社区维护的跨平台封装。
核心类一览
GDAL API 在四种语言中保持一致的类结构，下表列出核心类及其作用：
栅格 API 核心类
| 类 | C++ 头文件 / 模块 | 用途 |
|---|---|---|
GDALDriver |
gdal_priv.h / osgeo.gdal |
栅格驱动——注册格式、创建数据集 |
GDALDataset |
gdal_priv.h / osgeo.gdal |
★ 栅格数据集——打开、读写、获取元数据 |
GDALRasterBand |
gdal_priv.h / osgeo.gdal |
栅格波段——读写像素、获取统计信息 |
GDALColorTable |
gdal_priv.h / osgeo.gdal |
颜色表——索引颜色映射 |
GDALRasterAttributeTable |
gdal_priv.h / osgeo.gdal |
栅格属性表 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago Changed · -1,128 lines bf88685f101a
- 11d ago First seen · 1,479 lines · 56 tokens per session scan A 52538c4a1348
gdal-api is a skill published in the GitHub repository znlgis/opengis-skills (60 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 4,438 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
open-source
Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browseruse, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle…
notebooklm
Install, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API.…
polyrepo-boundaries
Decide which xberg-io repository owns a cross-repository fix or API, and coordinate compatible changes across Xberg, Alef, enterprise, crawler, LLM, and OCR repositories. Load when work spans sibling repos; do not use for a self-contained Xberg edit.
dstack-prototyping
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final…
fastapi-guard
Production-ready security middleware for FastAPI. Use when adding IP filtering, rate limiting, per-route security decorators, route-resolution strict mode, global behavior rules, passive/log-only mode, or Guard Agent SaaS telemetry to a FastAPI app. Covers SecurityMiddleware setup, SecurityConfig tuning, and the…